关键词: 高光谱, 单类支持向量机, 光谱角制图, 岩性分类

Abstract: An extended one-class support vector machine (OCSVM) was applied to lithologic mapping from the EO-1 Hyperion hyperspectral data, and it has been evaluated in terms of classification accuracy. First OCSVM was separately used to extract each lithologic unit of interest. The pixel which was classified to different classes simultaneously was then assigned as the class with smallest distance to the hyperplane. In this way, the extended OCSVM can be used for extracting several lithologic units of interest. The extended OCSVM method was used in lithologic classification from the EO-1 Hyperion hyperspectral data in Junggar area, Xinjiang and compared with the spectral angle mapper (SAM) method. The results showed that the extended OCSVM method outperformed the SAM method in lithologic classification. The extended OCSVM is a useful and effective method for lithologic classification from hyperspectral remote sensing data.

Key words: hyperspectral data, OCSVM, SAM, lithologic classification